Building an Image-classification Library for Deep-learning Algorithms
The purpose of BILDA is to improve the detection rate of the detection algorithm we use.
Until now, the detection rate has been too low for it to be possible to use only analyzes from the algorithm.
This means that a third party must manually verify data that the algorithm cannot approve on its own.
By creating an application where other people can verify the data from the algorithm by simply swiping on images,
it is expected that the detection rate can be improved with up to 95% accuracy,
which will drastically reduce resources spent on manually verifying the data.
LARES
Lightwave Algorithm for a Radiometric Entrainment System
The overall goal is to develop a solution to predict anomalies, faults and malfunctions in materials, by measuring thermal radiation from constructions and critical infrastructure.
The project aims to utilize handheld radiometric microbolometers, combined with freely available earth observations from satellites and the possibility of using aerial robotics to gather data with variances and deviations in infrared radiation from the source material in property assets.